On B&B Algorithms in Greenhouse Climate Control

Research output: Chapter in Book/Report/Conference proceedingConference paper

Abstract

Climate control is essential for managing the production of horticulture in greenhouses. One of the traditional ways to control the climate in the greenhouse is Model Predictive Control (MPC). This paper studies the potential of using branch and bound algorithms in order to effectively reach the best control in MPC.
Original languageEnglish
Title of host publicationProceedings of the XIII Global Optimization Workshop
EditorsA.M.A.C. Rocha, M.F.P. Costa, E.M.F.P. Fernandes
Place of PublicationBraga
Pages77-88
ISBN (Electronic)9789892067643
Publication statusPublished - 2016
EventXIII Global Optimization Workshop GOW'16 - Braga, Portugal
Duration: 4 Sep 20168 Sep 2016

Workshop

WorkshopXIII Global Optimization Workshop GOW'16
CountryPortugal
CityBraga
Period4/09/168/09/16

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    Hermelink, M., Hendrix, E. M. T., & Haijema, R. (2016). On B&B Algorithms in Greenhouse Climate Control. In A. M. A. C. Rocha, M. F. P. Costa, & E. M. F. P. Fernandes (Eds.), Proceedings of the XIII Global Optimization Workshop (pp. 77-88). http://repositorium.sdum.uminho.pt/bitstream/1822/42944/1/Proceedings%20GOW16.pdf#page=88